Koutilya PNVR

According to our database, Koutilya PNVR authored at least 6 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Leveraging Deep Generative Models for Estimation and Recognition.

Koutilya PNVR

PhD thesis, 2023

LD-ZNet: A Latent Diffusion Approach for Text-Based Image Segmentation.

Koutilya PNVR, Bharat Singh, Pallabi Ghosh, Behjat Siddiquie, David Jacobs

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2020

Pre-season crop type mapping using deep neural networks.

Raghu Yaramasu, Varaprasad Bandaru, Koutilya PNVR

Comput. Electron. Agric., 2020

PhenoCrop: An integrated satellite-based framework to estimate physiological growth stages of corn and soybeans.

Varaprasad Bandaru, Raghu Yaramasu, Koutilya PNVR, Jiaying He, Fernando Sedano, Ritvik Sahajpal, Brian D. Wardlow, Andrew E. Suyker, Chris Justice

Int. J. Appl. Earth Obs. Geoinformation, 2020

SharinGAN: Combining Synthetic and Real Data for Unsupervised Geometry Estimation.

Koutilya PNVR, Hao Zhou, David Jacobs

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2018

Bidirectional Convolutional LSTM for the Detection of Violence in Videos.

Alex Hanson, Koutilya PNVR, Sanjukta Krishnagopal, Larry Davis

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018